diff --git a/ext/DistributionsChainRulesCoreExt/multivariate/dirichlet.jl b/ext/DistributionsChainRulesCoreExt/multivariate/dirichlet.jl
index 5aa0d727d5..90868bf685 100644
--- a/ext/DistributionsChainRulesCoreExt/multivariate/dirichlet.jl
+++ b/ext/DistributionsChainRulesCoreExt/multivariate/dirichlet.jl
@@ -9,6 +9,9 @@ function ChainRulesCore.frule((_, Δalpha)::Tuple{Any,Any}, ::Type{DT}, alpha::A
     return d, Δd
 end
 
+ChainRulesCore.frule(::ChainRulesCore.RuleConfig, Δ, pdf::Type{DT}, alpha::AbstractVector{T}; check_args::Bool = true) where {T <: Real, DT <: Union{Dirichlet{T}, Dirichlet}} =
+    ChainRulesCore.frule(Δ, pdf, alpha, check_args=check_args)
+
 function ChainRulesCore.rrule(::Type{DT}, alpha::AbstractVector{T}; check_args::Bool = true) where {T <: Real, DT <: Union{Dirichlet{T}, Dirichlet}}
     d = DT(alpha; check_args=check_args)
     digamma_alpha0 = SpecialFunctions.digamma(d.alpha0)
@@ -33,6 +36,9 @@ function ChainRulesCore.frule((_, Δd, Δx)::Tuple{Any,Any,Any}, ::typeof(Distri
     return Ω, ΔΩ
 end
 
+ChainRulesCore.frule(::ChainRulesCore.RuleConfig, Δ, pdf::typeof(Distributions._logpdf), d::Dirichlet, x::AbstractVector{<:Real}) =
+    ChainRulesCore.frule(Δ, pdf, d, x)
+
 function ChainRulesCore.rrule(::typeof(Distributions._logpdf), d::T, x::AbstractVector{<:Real}) where {T<:Dirichlet}
     Ω = Distributions._logpdf(d, x)
     isfinite_Ω = isfinite(Ω)
diff --git a/ext/DistributionsChainRulesCoreExt/univariate/continuous/uniform.jl b/ext/DistributionsChainRulesCoreExt/univariate/continuous/uniform.jl
index 0461329577..cbcdb32eda 100644
--- a/ext/DistributionsChainRulesCoreExt/univariate/continuous/uniform.jl
+++ b/ext/DistributionsChainRulesCoreExt/univariate/continuous/uniform.jl
@@ -12,6 +12,9 @@ function ChainRulesCore.frule((_, Δd, _), ::typeof(logpdf), d::Uniform, x::Real
     return Ω, ΔΩ
 end
 
+ChainRulesCore.frule(::ChainRulesCore.RuleConfig, Δ, pdf::typeof(logpdf), d::Uniform, x::Real) =
+    ChainRulesCore.frule(Δ, pdf, d, x)
+
 function ChainRulesCore.rrule(::typeof(logpdf), d::Uniform, x::Real)
     # Compute log probability
     a, b = params(d)
diff --git a/ext/DistributionsChainRulesCoreExt/univariate/discrete/poissonbinomial.jl b/ext/DistributionsChainRulesCoreExt/univariate/discrete/poissonbinomial.jl
index aa27a9fd94..fdc9be3785 100644
--- a/ext/DistributionsChainRulesCoreExt/univariate/discrete/poissonbinomial.jl
+++ b/ext/DistributionsChainRulesCoreExt/univariate/discrete/poissonbinomial.jl
@@ -8,6 +8,8 @@ for f in (:poissonbinomial_pdf, :poissonbinomial_pdf_fft)
             A = Distributions.poissonbinomial_pdf_partialderivatives(p)
             return y, A' * Δp
         end
+        ChainRulesCore.frule(::ChainRulesCore.RuleConfig, Δ, pdf::typeof(Distributions.$f), p::AbstractVector{<:Real}) =
+            ChainRulesCore.frule(Δ, pdf, p)
         function ChainRulesCore.rrule(::typeof(Distributions.$f), p::AbstractVector{<:Real})
             y = Distributions.$f(p)
             A = Distributions.poissonbinomial_pdf_partialderivatives(p)